Energy Optimization in a Multihop Sensor Network for a WBAN Application

Vishakha Tyagi, Sindhu Hak Gupta, Monica Kaushik
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Abstract

Movement and posture change of human body plays a crucial role in energy consumption while data transmission between strategically deployed nodes in wireless body area networks (WBANs). The majority of energy is used in transmission rather than processing of the data. Nodes within body are there for long time and need to be energy efficient so that the network lifetime is increased. In this paper, we propose an energy efficient data transmission for multi-hop network that uses particle swarm optimization (PSO) for optimizing the parameters on which energy consumption relies. An energy efficient data transmission and reception takes place by altering the parameters like node to node distance and packet size of data. The obtained results show a significant reduction of energy consumed by reducing the packet size and keeping the node-to-sink distance a constant value. The total energy consumed per hop per bit length of data packet Emh/L shows 75% optimization. The energy consumed in data transmission per bit length of data E tx /L and the energy consumed for data received per bit length of data packet E rx /L is optimized by approximately 70% and 50% respectively for hope count 2 to 5.
面向WBAN应用的多跳传感器网络能量优化
在无线身体区域网络(wban)中,人体的运动和姿态变化对能量消耗起着至关重要的作用。大部分能量用在传输而不是处理数据上。体内节点长时间存在,需要节能,从而延长网络的生命周期。在本文中,我们提出了一种多跳网络的高能效数据传输方法,该方法使用粒子群优化(PSO)来优化能耗所依赖的参数。通过改变节点到节点的距离和数据包大小等参数,实现节能的数据传输和接收。所得到的结果表明,通过减小数据包大小和保持节点到接收器的距离为恒定值,可以显著降低能耗。数据包每跳每比特长度所消耗的总能量Emh/L优化75%。在希望计数2 ~ 5的情况下,数据传输每比特长度所消耗的能量E tx /L和数据包接收每比特长度所消耗的能量E rx /L分别优化约70%和50%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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